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. 2023 Sep 19;13(18):2996. doi: 10.3390/diagnostics13182996

Table 1.

Characteristics of participants enrolled in this study in the whole dataset.

Characteristic Total Cohort
(n = 1381)
Gender
Female 707 (51%)
Male 674 (49%)
Age
18 to 39 458 (33%)
40 to 59 493 (36%)
60 or older 430 (31%)
Ethnicity
Mexican American 246 (18%)
Other Hispanic 143 (10%)
White Non-Hispanic 732 (53%)
Black Non-Hispanic 205 (15%)
Other 55 (4%)
Smoking intensity, total cigarettes over lifetime
0 688 (53%)
1 to 50,400 252 (19%)
>50,400 364 (28%)
BMI, kg/m²
<25 394 (29%)
25 to 29.9 460 (33%)
>29.9 527 (38%)
Blood pressure status
Normotensive 659 (48%)
Elevated 255 (18%)
Hypertension 1 246 (18%)
Hypertension 2 221 (16%)
Diabetes
Yes 133 (10%)
No 1212 (88%)
Borderline 33 (2%)
eGFR, mL/min/1.73 cm²
>90 902 (65%)
60 to 90 395 (29%)
<60 84 (6%)
Physical activity, MET-hours/week
0 373 (27%)
>0 to 4 93 (7%)
>4 to 40 496 (36%)
>40 419 (30%)
Paraxanthine/caffeine ratio 0.15 (0.07, 0.30)
1-methyluric acid/caffeine ratio 0.59 (0.33, 1.07)
Bicarbonate level, mmol/L 26 (24, 27)
Phosphorus level, mmol/L 26 (24, 27)

Categorical variables are presented as n, % (column %), based on known values; continuous variables are presented as median and interquartile range. Caffeine metabolite indices were multiplied by 1000. List of abbreviations: SD: standard deviation, BMI: body mass index, eGFR: estimated glomerular filtration rate, MET: metabolic equivalent.